NVIDIA CUDA Can Now Directly Run On AMD GPUs Using The “SCALE” Toolkit

British startup Spectral Compute has unveiled "SCALE," a GPGPU toolchain that allows NVIDIA's CUDA to function seamlessly on AMD's GPUs.

NVIDIA's CUDA Can Now Directly Function With Non-NVIDIA GPUs Such As AMD's Without The Need For Code Porting, Courtesy of SCALE

Well, it looks like the industry has been able to break NVIDIA's software stack dominance, so they are now looking for ways to remove the "exclusivity" status through various means. We previously saw the emergence of ZLUDA, an open-source porting project that allowed CUDA libraries to work with AMD's ROCm, ultimately supporting Team Red's GPUs. A new competitor has emerged on the scene, the SCALE, which allows AMD's consumers to leverage the capabilities of NVIDIA's CUDA to create a high-end "hybrid" model.

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Spectral Compute's CEO, Michael Sondergaard, believes that GPUs should have an open-source environment, similar to modern-day CPUs, and that interconnectivity should exist among various platforms. He believes that SCALE acts as a bridge for the compatibility gap between CUDA and other hardware vendors, ultimately removing the limits that exist in the markets. According to Michael, SCALE is a GPGPU toolkit, similar to NVIDIA's CUDA toolkit, which uses binaries for non-NVIDIA GPUs while compiling CUDA code, ultimately removing the need for a translation layer.

SCALE has been in development for seven years, according to Spectral Compute, and it doesn't rely on NVIDIA's code but builds its CUDA-compatible toolchain, which makes SCALE highly adaptable amongst multiple platforms, such as AMD's RDNA GPUs. The resource avoids code porting and allows developers to work with a single version of their codebase since SCALE eliminates the need to work with other languages, as it's source-compatible with CUDA.

Well, with the implementation of SCALE, it's apparent that the status of NVIDIA's